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Probabilistic Representations for Video Contrastive Learning

Probabilistic Representations for Video Contrastive Learning

8 April 2022
Jungin Park
Jiyoung Lee
Ig-Jae Kim
K. Sohn
    SSL
ArXivPDFHTML

Papers citing "Probabilistic Representations for Video Contrastive Learning"

36 / 36 papers shown
Title
Coca-Splat: Collaborative Optimization for Camera Parameters and 3D Gaussians
Coca-Splat: Collaborative Optimization for Camera Parameters and 3D Gaussians
Jiamin Wu
Hongyang Li
Xiaoke Jiang
Yuan Yao
Lei Zhang
3DGS
51
0
0
01 Apr 2025
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
Qingyao Tian
Huai Liao
Xinyan Huang
Bingyu Yang
Dongdong Lei
Sebastien Ourselin
Hongbin Liu
Mamba
68
0
0
26 Feb 2025
Probabilistic Language-Image Pre-Training
Probabilistic Language-Image Pre-Training
Sanghyuk Chun
Wonjae Kim
Song Park
Sangdoo Yun
MLLM
VLM
CLIP
117
4
2
24 Oct 2024
AutoTurb: Using Large Language Models for Automatic Algebraic Model
  Discovery of Turbulence Closure
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure
Yu Zhang
Kefeng Zheng
Fei Liu
Qingfu Zhang
Zhenkun Wang
34
2
0
14 Oct 2024
Probabilistic Vision-Language Representation for Weakly Supervised
  Temporal Action Localization
Probabilistic Vision-Language Representation for Weakly Supervised Temporal Action Localization
Geuntaek Lim
Hyunwoo Kim
Joonsoo Kim
Yukyung Choi
25
0
0
12 Aug 2024
Contrastive Factor Analysis
Contrastive Factor Analysis
Zhibin Duan
Tiansheng Wen
Yifei Wang
Chen Zhu
Bo Chen
Mingyuan Zhou
38
1
0
31 Jul 2024
Self-Supervised Representation Learning with Spatial-Temporal
  Consistency for Sign Language Recognition
Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language Recognition
Weichao Zhao
Wengang Zhou
Hezhen Hu
Min Wang
Houqiang Li
SLR
35
2
0
15 Jun 2024
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval
Han Fang
Xianghao Zang
Chao Ban
Zerun Feng
Lanxiang Zhou
Zhongjiang He
Yongxiang Li
Hao Sun
27
1
0
18 Apr 2024
Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping
Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping
Hyeongjun Kwon
Jinhyun Jang
Jin-Hwa Kim
Kwonyoung Kim
Kwanghoon Sohn
35
1
0
01 Apr 2024
Spatiotemporal Representation Learning for Short and Long Medical Image
  Time Series
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
Chengzhi Shen
M. Menten
Hrvoje Bogunović
U. Schmidt-Erfurth
H. Scholl
S. Sivaprasad
A. Lotery
Daniel Rueckert
Paul Hager
Robbie Holland
26
2
0
12 Mar 2024
PRCL: Probabilistic Representation Contrastive Learning for
  Semi-Supervised Semantic Segmentation
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
Haoyu Xie
Changqi Wang
Jian-jun Zhao
Yang Liu
Jun Dan
Chong Fu
Baigui Sun
SSL
36
8
0
28 Feb 2024
Primary and Secondary Factor Consistency as Domain Knowledge to Guide
  Happiness Computing in Online Assessment
Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment
Xiaohua Wu
Lin Li
Xiaohui Tao
Frank Xing
Jingling Yuan
11
0
0
17 Feb 2024
Domain Generalization with Small Data
Domain Generalization with Small Data
Kecheng Chen
Elena Gal
Hong Yan
Haoliang Li
OOD
21
5
0
09 Feb 2024
Collaborative Weakly Supervised Video Correlation Learning for
  Procedure-Aware Instructional Video Analysis
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
Tianyao He
Huabin Liu
Yuxi Li
Xiao Ma
Cheng Zhong
Yang Zhang
Weiyao Lin
20
5
0
18 Dec 2023
Stoichiometry Representation Learning with Polymorphic Crystal
  Structures
Stoichiometry Representation Learning with Polymorphic Crystal Structures
Namkyeong Lee
Heewoong Noh
Gyoung S. Na
Tianfan Fu
Jimeng Sun
Chanyoung Park
15
0
0
17 Nov 2023
Holistic Representation Learning for Multitask Trajectory Anomaly
  Detection
Holistic Representation Learning for Multitask Trajectory Anomaly Detection
Alexandros Stergiou
B. D. Weerdt
Nikos Deligiannis
46
13
0
03 Nov 2023
Knowing Where to Focus: Event-aware Transformer for Video Grounding
Knowing Where to Focus: Event-aware Transformer for Video Grounding
Jinhyun Jang
Jungin Park
Jin-Hwa Kim
Hyeongjun Kwon
K. Sohn
16
49
0
14 Aug 2023
End-to-End Supervised Multilabel Contrastive Learning
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
21
8
0
08 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Uddeshya Upadhyay
Shyamgopal Karthik
Massimiliano Mancini
Zeynep Akata
MLLM
VLM
16
3
0
01 Jul 2023
Foundation Model for Endoscopy Video Analysis via Large-scale
  Self-supervised Pre-train
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Zhao Wang
Chang Liu
Shaoting Zhang
Qi Dou
MedIm
23
58
0
29 Jun 2023
Improved Probabilistic Image-Text Representations
Improved Probabilistic Image-Text Representations
Sanghyuk Chun
VLM
33
26
0
29 May 2023
Mask to reconstruct: Cooperative Semantics Completion for Video-text
  Retrieval
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval
Han Fang
Zhifei Yang
Xianghao Zang
Chao Ban
Hao Sun
VGen
28
2
0
13 May 2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-Supervised Video Representation Learning via Latent Time Navigation
Di Yang
Yaohui Wang
Quan Kong
A. Dantcheva
Lorenzo Garattoni
Gianpiero Francesca
F. Brémond
SSL
AI4TS
43
10
0
10 May 2023
Probabilistic Prompt Learning for Dense Prediction
Probabilistic Prompt Learning for Dense Prediction
Hyeongjun Kwon
Taeyong Song
Somi Jeong
Jin-Hwa Kim
Jinhyun Jang
K. Sohn
VLM
23
18
0
03 Apr 2023
Dual-path Adaptation from Image to Video Transformers
Dual-path Adaptation from Image to Video Transformers
Jungin Park
Jiyoung Lee
K. Sohn
ViT
19
37
0
17 Mar 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval
UATVR: Uncertainty-Adaptive Text-Video Retrieval
Bo Fang
Wenhao Wu
Chang-rui Liu
Yu Zhou
Yuxin Song
Weiping Wang
Min Yang
Xiang Ji
Jingdong Wang
24
45
0
16 Jan 2023
Similarity Contrastive Estimation for Image and Video Soft Contrastive
  Self-Supervised Learning
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
14
6
0
21 Dec 2022
Probabilistic Deep Metric Learning for Hyperspectral Image
  Classification
Probabilistic Deep Metric Learning for Hyperspectral Image Classification
Cheng-Hao Wang
Wenzhao Zheng
Xian Sun
Jiwen Lu
Jie Zhou
11
1
0
15 Nov 2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic
  Representations
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie
Changqi Wang
Mingkai Zheng
Minjing Dong
Shan You
Chong Fu
Chang Xu
SSL
39
14
0
26 Oct 2022
Representing Spatial Trajectories as Distributions
Representing Spatial Trajectories as Distributions
Dídac Surís
Carl Vondrick
27
5
0
04 Oct 2022
Time-Equivariant Contrastive Video Representation Learning
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
137
60
0
07 Dec 2021
Probabilistic Embeddings for Cross-Modal Retrieval
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun
Seong Joon Oh
Rafael Sampaio de Rezende
Yannis Kalantidis
Diane Larlus
UQCV
401
200
0
13 Jan 2021
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
215
308
0
19 Oct 2020
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
131
133
0
21 Jul 2020
Multi-modal Transformer for Video Retrieval
Multi-modal Transformer for Video Retrieval
Valentin Gabeur
Chen Sun
Alahari Karteek
Cordelia Schmid
ViT
412
595
0
21 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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